Peter Karl Sorger

This study identifies genomic subtypes and immune features of mucosal melanoma, linking CD163+ macrophages to immune resistance and suggesting TIM-3 blockade as a therapeutic target.

A free Meta Quest virtual reality app harmonizes CODEX, Visium, Xenium, volumetric immunofluorescence and electron microscopy data from 5 organs into 4 scale levels using the Human Reference Atlas.

The paper introduces v-CyCIF, a method for 3D spatial profiling of human FFPE tissue, enabling detailed analysis of tumor, stroma, and immune structures.

The paper shows that keratinocyte EMT-like transformation in melanoma reduces tumor invasion and improves survival through altered cell-cell interactions.

This study shows that immunogenic tumor mass dormancy, not cell-level quiescence, persists in residual melanoma lesions after immunotherapy, with active tumor cells and immune interactions.

This study uses 3D reconstruction and optimal transport modeling to analyze TLS development in TB-infected lungs, revealing distinct maturation trajectories and spatial dynamics.

This paper introduces a human-in-the-loop framework using AI foundation models and sparse autoencoders to interpret H&E histology images and integrate them with molecular spatial profiling.

This paper shows that kinase inhibitors commonly target multiple kinases, independent of approval status, and highlights the need for better understanding of their polypharmacology.

Cyclic immunofluorescence of 265 high-grade serous ovarian carcinomas and random-forest feature ranking identify cancer-cell MHC-II as an adjusted predictor of longer survival marking immune-activated tumor-stroma hotspots.

This study shows CD40 agonist therapy reduces tumor growth in antigen presentation-deficient tumors by reprogramming monocytes and requiring IFN-gamma and CD8+ T cells for efficacy.

The paper investigates how amino acid limitation affects translation by analyzing ribosome stalling and the role of RQC pathways and RNF14 in response to arginine depletion.

This paper shows that bleb-induced septin signaling supports survival of metastatic melanoma cells in vivo, and disrupting this pathway reduces metastasis.

SEAL integrates spatial imaging context with dimensionality reduction embeddings to improve interpretation of complex datasets through interactive visualization and feature importance analysis.

The paper maps oxidative stress response in TNBC using single-cell and spatial data, identifying GCLC+ mesenchymal tumor cells linked to better patient outcomes.

The paper introduces u-Segment3D, a tool that converts 2D cell segmentations into 3D consensus segmentations without training data, demonstrating effectiveness across diverse datasets.

The paper identifies regulatory T cells suppressing tissue-resident CD8+ T cell programs in early melanoma, revealing a mechanism of immune evasion.

The paper identifies crater-shaped structures in melanoma that enhance immune response to checkpoint blockade therapy in humans and zebrafish.

The paper develops a framework to integrate multiplexed immunofluorescence data with mathematical models to study cell cycle dynamics and arrest, validated on MCF-10A cells exposed to arresting agents.

The paper identifies melanoma differentiation and immune exhaustion as predictors of tumor progression and therapy response in in-transit melanoma patients through multiomic profiling.

This paper introduces 3D CyCIF, a method for high-plex 3D profiling of cell states and immune niches in human tumors, revealing detailed spatial interactions and cytokine niches previously unattainable in thin sections.

The paper introduces statistical tools to analyze immune cluster patterns in prostate cancer and finds high-grade tumors show more immune infiltration and active immune features.

This study distinguishes tissue-resident memory (TRM) and exhausted T (TEX) cells in tumors by analyzing their antigen reactivity, clonality, and functional outcomes.

This paper introduces a method that combines autoencoders with segmentation to improve single-cell analysis of multiplexed tissue images by capturing morphology and reducing signal spillover.

The paper maps spatial patterns of tumor cell dedifferentiation and plasticity in melanoma by analyzing RNA and protein expression across 300 histological domains.

The paper describes how the Human Tumor Atlas Network shares data through standards, infrastructure, and community engagement, making datasets accessible via multiple platforms.

This study identifies suppressive myeloid cell populations in human TB granulomas using spatial transcriptomics and single-cell immunophenotyping, revealing IDO1+ dendritic cells as key regulators of immune suppression.

This study uses spatial profiling to show immune suppression and microenvironment changes in fallopian tube precursors of high-grade serous ovarian cancer.

This study shows chemotherapy causes myeloid-driven spatial T-cell exhaustion in ovarian cancer by altering immune cell states and interactions, suggesting new immunotherapy approaches.

This study identifies an estrogen receptor signaling program in HR+ breast cancer that suppresses immune responses by reducing T cell infiltration and HLA expression, suggesting therapeutic targets to enhance immunogenicity.

This paper introduces CyLinter, a quality control tool that removes imaging artefacts from high-plex spatial profiling data, improving single-cell analysis of archival tumor specimens.